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| نموذج توبيت للانحدار المقيّد (Tobit Censored Regression Model)× | انحدار ذي الحدين السلبي× | |
|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1958 | 2011 |
| صاحب الطريقة≠ | James Tobin | Hilbe (textbook treatment); generalized linear model framework |
| النوع≠ | Censored regression (limited dependent variable) | Generalized linear model for count data |
| المصدر التأسيسي≠ | Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36. DOI ↗ | Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. DOI ↗ |
| الأسماء البديلة | censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon) | NB regression, NB2 regression, negatif binom regresyonu |
| ذات صلة | 4 | 4 |
| الملخص≠ | The Tobit model is a regression for outcomes that are censored at a threshold, estimating the relationship by maximum likelihood. Introduced by James Tobin in 1958, it addresses the pile-up of observations at a limit (typically zero) in data such as spending, wages, or duration. | Negative Binomial Regression is a generalized linear model for count outcomes that extends Poisson regression to handle overdispersion, where the variance of the counts exceeds their mean. Developed in the GLM tradition and treated in depth by Hilbe (2011), it adds a dispersion parameter so that inference stays valid when Poisson would understate the spread of the data. |
| ScholarGateمجموعة البيانات ↗ |
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